The extraction of moving object in real-time web-based video sequence

被引:1
|
作者
Fu, XP [1 ]
Wang, Z [1 ]
Liang, DQ [1 ]
Jiang, HP [1 ]
机构
[1] Dalian Maritime Univ, Coll Comp Sci & Technol, Dalian 116026, Peoples R China
关键词
D O I
10.1109/CACWD.2004.1349013
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents an efficient moving object segmentation algorithm for real-time web-based multimedia communication systems. To extract the moving objects regions from the sequence, the foreground of moving objects isn't used directly, but the background image is obtained firstly, based on motion information. This algorithm is motivated by the assumption that moving objects usually have intensity changes between successive frames. First, obtaining background mask technique is used to construct a reliable background image from the accumulated frame difference information between successive frames in a sequence. The moving object region is then separated from the background region by comparing the current frame with the constructed background image. Then, a post-processing using morphological filter operation is used to remove noise regions and produce a more smooth shape boundary.
引用
收藏
页码:187 / 190
页数:4
相关论文
共 50 条
  • [31] Web-based and 'real-time' beach management system
    Turner, Ian L.
    Anderson, Douglas J.
    [J]. COASTAL ENGINEERING, 2007, 54 (6-7) : 555 - 565
  • [32] A typology of real-time validations in web-based surveys
    Peytchev, A
    Crawford, S
    [J]. SOCIAL SCIENCE COMPUTER REVIEW, 2005, 23 (02) : 235 - 249
  • [33] Web-based interface for real-time movement monitoring
    Kainz, Ondrej
    Jakab, Frantisek
    [J]. 2014 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST), 2014,
  • [34] Modified snake: Real-time face object extraction for video phone
    Hontani, K
    Imanaka, T
    Fujita, G
    Onoye, T
    Shirakawa, I
    [J]. 2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS, 2003, : 873 - 876
  • [35] Real-time automatic moving object extraction and tracing based on improved active contour model
    Geng, YC
    Liu, YX
    Goto, S
    Ikenaga, T
    [J]. ISPACS 2005: PROCEEDINGS OF THE 2005 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS, 2005, : 149 - 152
  • [36] Full-Body WebRTC Video Conferencing in a Web-Based Real-Time Collaboration System
    Wenzel, Matthias
    Meinel, Christoph
    [J]. 2016 IEEE 20TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2016, : 334 - 339
  • [37] CNN Implementation of a Moving Object Segmentation Approach for Real-Time Video Surveillance
    Rodriguez-Fernandez, D.
    Vilarino, D. L.
    Pardo, X. M.
    [J]. 2008 11TH INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, 2008, : 129 - 134
  • [38] Real-Time Moving Object Detection in High-Resolution Video Sensing
    Zhu, Haidi
    Wei, Haoran
    Li, Baoqing
    Yuan, Xiaobing
    Kehtarnavaz, Nasser
    [J]. SENSORS, 2020, 20 (12) : 1 - 15
  • [39] Focal-plane moving object segmentation for real-time video surveillance
    Lopez Vilarino, David
    Dudek, Piotr
    Cabello Ferrer, Diego
    [J]. PROCEEDINGS OF 2008 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-10, 2008, : 1600 - +
  • [40] A real-time approach to the lip-motion extraction in video sequence
    Zhang, MM
    Tao, H
    Wang, LM
    Zhan, YZ
    Song, SL
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 6423 - 6428